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On the effectiveness of a contrastive cascade graph learning framework: The power of synthetic cascade data
Analyzing the dynamics of information diffusion cascades and accurately predicting their behavior holds significant importance in various applications. In this paper, we concentrate specifically on a recently introduced contrastive cascade graph learning framework, for the task of predicting cascade...
Autores principales: | Suzuki, Daiki, Tsugawa, Sho, Tsukamoto, Keiichiro, Igari, Shintaro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578604/ https://www.ncbi.nlm.nih.gov/pubmed/37844089 http://dx.doi.org/10.1371/journal.pone.0293032 |
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